Data of postural and gait parameters of post-stroke patients before and after step B of Gusu Constraint Standing Training
Description
A total of 41 stroke participants were recruited ,after screening for inclusion criteria and obtaining consent, a total of 27 stroke patients aged ≤70 years were enrolled, 27 patients were randomized to the original designed Gusu Constraint Standing Training (GCST) group (n=15) and control group (n=12). General data of the 27 patients were analyzed. There were no significant differences in age, gender, diagnosis, stroke duration, Body Mass Index (BMI), involved side, Mini-Mental State Examination (MMSE) score, pre-treatment FMA scores of upper and lower limbs, and FAC scores. During the treatment period, two patients withdrew from the treatment prematurely. Ultimately, A total of 25 patients eventually completed the treatment, 15 in the GCST group and 10 in the control group, and the data before and after the treatment of the 25 patients were analyzed.
Files
Steps to reproduce
These data were measured and collected at the Department of Rehabilitation Medicine, Changshu Hospital, Soochow University, China, by a specialized rehabilitation physician and a physical therapist. Initially, 41 participants were recruited; after screening for inclusion criteria and obtaining consent, a total of 27 stroke patients aged ≤70 years were enrolled. During the treatment period, two patients withdrew from the treatment prematurely. Ultimately, a total of 25 patients completed the pre-treatment and post-treatment assessments. Data from 25 patients were finally analyzed. The collection of raw data on patients before and after treatment is done through the following sections: 1. Physical examination scales and tests, including Fugl-Meyer Assessment(FMA), Brunnstrom recovery stage(BRS), Functional Ambulation Category (FAC), Manual Muscle Testing(MMT), Berg Balance Scale(BBS), Barthel Index(BI), Modified Ashworth Scale(MAS), and single-leg standce(SLS) test ,were used to collect the patients' physical examination data; 2. Wearable inertial sensors from the Mobility Lab® (APDM, USA) were utilized to collect the patients' gait and balance functional assessment.3.The architecture of 22 lower limbs muscles was assessed using a high-frequency ultrasonography system (LOGIQ E9 XDclear 2.0). 4. The camera of the iPhone 13 was used to capture standing pose photographs and walking videos. Patients were photographed in four directions - front, left, right, and back while the patient was standing as upright as possible. The gait videos of both affected and unaffected lower limbs were photographed as patients walked barefoot. These videos were imported into Cupcut v6.0.1 for screenshot capture. Computer-assisted software (PicPick v7.2.8) was used to measure the knee angles of the lower limbs on both sides in the static standing position, as well as the minimum of knee flexion angle (KFA) and the KFA at the initial contact bilaterally during the walking cycle. Stroke patients can benefit from these data as they can contribute to the understanding of changes in comprehensive motor function, activities of daily living ability, lower limb muscle strength and structure, standing postural control and gait in stroke patients before treatment and after 4 weeks of treatment. These data can reveal the efficacy of the Gusu Constraint Standing Training (GCST) training in stroke patients.
Institutions
Categories
Funding
Science and Technology Program of Suzhou
SKY2022186
Science and Technology Program of Suzhou
SKY2021053